• Ultralytics
  • Home
  • Explore
Get Started
Train Ultralytics YOLO models, manage datasets, and deploy with one click.
  • Cloud training
  • Dataset management
  • One-click inference

For support, contact support@ultralytics.com.

By clicking continue, you agree to our Terms of Service and Privacy Policy.
  1. 2late
  2. linegg-bpose
  3. yolov10n

yolov10n

DetectPyTorchv8.2.30
Run Information
Training timing and environment details
Completed
Completed

Jun 10, 2024, 04:16 PM

Ultralytics

8.2.30

Documentation

https://docs.ultralytics.com

Inference Example
Use this trained model to run predictions on your images. Requires ultralytics>=8.4.5

First, set your API key as an environment variable to authenticate with Ultralytics Platform:

export ULTRALYTICS_API_KEY=your_api_key_here
from ultralytics import YOLO

# Load your trained model from Ultralytics Platform
model = YOLO("2late/linegg-bpose/yolov10n")

# Run inference on an image
results = model("path/to/image.jpg")

# Process results
for result in results:
    boxes = result.boxes  # Bounding boxes
    result.show()  # Display annotated image

No training data available for this model